Operational Reserve Assessment Considering Wind Power Fluctuations in Power Systems

2013 ◽  
pp. 379-411 ◽  
Author(s):  
Mauro Rosa ◽  
Manuel Matos ◽  
Ricardo Ferreira ◽  
Armando Martins Leite da Silva ◽  
Warlley Sales
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Power Fluctuations

scholarly journals The Effect of a Renewable Energy Certificate Incentive on Mitigating Wind Power Fluctuations: A Case Study of Jeju Island

2019 ◽  
Vol 9 (8) ◽  
pp. 1647
Author(s):  
Woong Ko ◽  
Jaeho Lee ◽  
Jinho Kim
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Wind Power ◽  
Wind Farm ◽  
Optimization Problems ◽  
Mixed Integer ◽  
Renewable Portfolio Standard ◽  
Flexible Resources ◽  
Power Fluctuations ◽  
Revenue Models

As renewable energy penetration in power systems grows, adequate energy policies are needed to support the system’s operations with flexible resources and to adopt more sustainable energies. A peak-biased incentive for energy storage systems (ESS) using the Korean renewable portfolio standard could make power system operations more difficult. For the first time in the research, this study evaluates the effect of imposing a renewable energy certificate incentive in off-peak periods on mitigating wind power fluctuations. We design a coordinated model of a wind farm with an ESS to model the behavior of wind farm operators. Optimization problems are formulated as mixed integer linear programming problems to test the implementation of revenue models under Korean policy. These models are designed to consider additional incentives for discharging the ESS during off-peak periods. The effects of imposing the incentives on wind power fluctuations are evaluated using the magnitude of the renewable energy certificate (REC) multiplier.

Short-Term Power Fluctuations of Large Wind Power Plants*

2002 ◽  
Vol 124 (4) ◽  
pp. 427-431 ◽  
Author(s):  
Yih-huei Wan ◽  
Demy Bucaneg,
Keyword(s):  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Power Plants ◽  
Power Level ◽  
Short Term ◽  
Wind Power Plants ◽  
Weather Events ◽  
Power Fluctuations ◽  
Large Wind

To evaluate short-term wind power fluctuations and their impact on electric power systems, the National Renewable Energy Laboratory, in cooperation with Enron Wind, has started a project to record output power from several large commercial wind power plants at the 1-Hertz rate. This paper presents statistical properties of the data collected so far and discusses the results of data analysis. From the available data, we can already conclude that despite the stochastic nature of wind power fluctuations, the magnitudes and rates of wind power changes caused by wind speed variations are seldom extreme, nor are they totally random. Their values are bounded in narrow ranges. Power output data also show significant spatial variations within a large wind power plant. The data also offer encouraging evidence that accurate wind power forecasting is feasible. To the utility system, large wind power plants are not really random burdens. The narrow range of power level step changes provides a lot of information with which system operators can make short-term predictions of wind power. Large swings of wind power do occur, but those infrequent large changes (caused by wind speed changes) are always related to well-defined weather events, most of which can be accurately predicted in advance.

scholarly journals Power fluctuations in high-installation- density offshore wind fleets

2021 ◽  
Vol 6 (2) ◽  
pp. 461-476
Author(s):  
Juan Pablo Murcia Leon ◽  
Matti Juhani Koivisto ◽  
Poul Sørensen ◽  
Philippe Magnant
Keyword(s):  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Offshore Wind ◽  
Weather Data ◽  
Storm Events ◽  
High Wind ◽  
Wind Speeds ◽  
Power Fluctuations ◽  
The Impact

Abstract. Detailed simulation of wind generation as driven by weather patterns is required to quantify the impact on the electrical grid of the power fluctuations in offshore wind power fleets. This paper focuses on studying the power fluctuations of high-installation-density offshore fleets since they present a growing challenge to the operation and planning of power systems in Europe. The Belgian offshore fleet is studied because it has the highest density of installation in Europe by 2020, and a new extension is expected to be fully operational by 2028. Different stages of the future installed capacity, turbine technology, and turbine storm shutdown technologies are examined and compared. This paper analyzes the distribution of power fluctuations both overall and during high wind speeds. The simulations presented in this paper use a new Student t-distributed wind speed fluctuation model that captures the missing spectra from the weather reanalysis simulations. An updated plant storm shutdown model captures the plant behavior of modern high-wind-speed turbine operation. Detailed wake modeling is carried out using a calibrated engineering wake model to capture the Belgium offshore fleet and its tight farm-to-farm spacing. Long generation time series based on 37 years of historical weather data in 5 min resolution are simulated to quantify the extreme fleet-level power fluctuations. The model validation with respect to the operational data of the 2018 fleet shows that the methodology presented in this paper can capture the distribution of wind power and its spatiotemporal characteristics. The results show that the standardized generation ramps are expected to be reduced towards the 4.4 GW of installations due to the larger distances between plants. The most extreme power fluctuations occur during high wind speeds, with large ramp-downs occurring in extreme storm events. Extreme ramp-downs are mitigated using modern turbine storm shutdown technologies, while extreme ramp-ups can be mitigated by the system operator. Extreme ramping events also occur at below-rated wind speeds, but mitigation of such ramping events remains a challenge for transmission system operators.

scholarly journals Power Fluctuations In High Installation Density Offshore Wind Fleets

2020 ◽  
Author(s):  
Juan Pablo Murcia Leon ◽  
Matti Juhani Koivisto ◽  
Poul Sørensen ◽  
Philippe Magnant
Keyword(s):  
Wind Speed ◽  
Power Systems ◽  
Wind Power ◽  
Offshore Wind ◽  
Weather Data ◽  
Storm Events ◽  
High Wind ◽  
Wind Speeds ◽  
Power Fluctuations ◽  
The Impact

Abstract. Detailed simulation of wind generation as driven by weather patterns is required to quantify the impact on the electrical grid of the power fluctuations in offshore wind power fleets. This article focuses on studying the power fluctuations of high installation density offshore fleets since they present a growing challenge to the operation and planning of power systems in Europe. The Belgian offshore fleet is studied because it has the highest density of installation in Europe by 2020 and a new extension is expected to start operations by 2028. Different stages of the future installed capacity, turbine technology and turbine storm shutdown technologies are examined and compared. This paper analyzes the distribution of power fluctuations both overall and during high wind speeds. The simulations presented in this article use a new t-student distributed wind speed fluctuations model that captures the missing spectra from the weather reanalysis-simulations. An updated plant storm shutdown model captures the plant behavior of modern high wind speed turbine operation. Detailed wake modeling is carried out using a calibrated engineering wake model in order to capture the Belgium offshore fleet and its tight farm to farm spacing. Long generation time series based on 37 years of historical weather data in 5 min resolution are simulated in order to quantify the extreme fleet-level power fluctuations. The model validation with respect the operational data of the 2018 fleet shows that the methodology presented in this article is able to capture the distribution of wind power and its spatio-temporal characteristics. The results show that the standardized generation ramps are expected to be reduced towards the 4.4 GW of installations due to the larger distances between plants. The most extreme power fluctuations occur during high wind speeds, with large down-ramps occurring in extreme storm events. Extreme down-ramps are mitigated using modern turbine storm shutdown technologies; while extreme up-ramps can be mitigated by the system operator. Extreme ramping events also occur at bellow rated wind speeds, but mitigation of such ramping events remains a challenge for transmission system operators.

The Method of Suppress the Output Power Fluctuations of Off-Grid Wind Power Systems

2012 ◽  
Vol 608-609 ◽  
pp. 479-482
Author(s):  
Xuan Liu ◽  
Yan Jia ◽  
Fei Zhao
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Wind Turbine ◽  
Wind Power ◽  
Output Power ◽  
Energy Storage Devices ◽  
Power Fluctuation ◽  
Power Fluctuations ◽  
Wind Power Systems ◽  
The Impact

As the wind is random and intermittent, the output power of the wind turbine will also be changing, causing the generator output power fluctuation and voltage fluctuation, flicker, and early deterioration of battery. In order to improve the stability of the off-grid power systems, power quality, and better to protect the energy storage devices, the paper analyzes the main factors of the impact of fluctuations in output power from the off-grid wind power systems and energy storage technology to mitigate the off-grid wind turbine power fluctuations.

Impact of wind power in autonomous power systems-power fluctuations-modelling and control issues

Wind Energy ◽  
2011 ◽  
Vol 14 (1) ◽  
pp. 133-153 ◽  
Author(s):  
Ioannis D. Margaris ◽  
Anca D. Hansen ◽  
Nicolaos A. Cutululis ◽  
Poul Sørensen ◽  
Nikos D. Hatziargyriou
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Power Fluctuations ◽  
Autonomous Power Systems ◽  
And Control
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